Job Title. AI/ML Engineer
Work Experience.3-7 years
Hiring Qualification. B.Tech/BE
Job Responsibilities
Developing AI/ML Algorithms
- Create and optimize algorithms to analyze extensive historical data for predictive analytics and recommendations.
- Implement and optimize deep learning models for generative tasks like image synthesis and voice applications.
- Collaborate with software engineers to seamlessly integrate Generative AI models into production systems.
- Evaluate AI/ML algorithms for their application potential and problem-solving capabilities, ranking them based on success likelihood.
Data Comprehension and Exploration
- Comprehend data through exploration and visualization, identifying discrepancies in data distribution.
- Work with both structured and unstructured data.
- Statistical Modeling and Machine Learning
- Develop algorithms based on statistical modeling procedures.
- Build and maintain scalable machine learning solutions in production environments.
- Leverage cloud platforms for training and deploying large-scale solutions (AWS preferred).
- Experience with managing ModelOps framework.
- Understand and implement CI/CD processes in product deployment.
- Collaborate with data engineers to build data and model pipelines, ensuring accuracy.
- Take complete ownership of assigned projects.
- Agile Environment:
- Experience working in Agile environments.
- Well-versed with JIRA or equivalent project tracking tools.
- Competencies / Skills
- Understanding of AI/ML frameworks, libraries, data structures, data modeling, and software architecture.
- Proficiency with deep learning frameworks such as TensorFlow, Keras, and NLP.
- Proficiency with Python and basic libraries like scikit-learn, and pandas.
- Experience with ML algorithms such as clustering, regression, and classification.
- Experience working with recommendation engines, data pipelines, and distributed machine learning.
- Ability to select hardware for running ML models with the required latency.
- Knowledge of cloud platforms (AWS, Azure, and GCP).
Communication Skills
- Excellent communication and collaboration skills.
This role offers a dynamic opportunity for an experienced AI/ML Engineer to contribute to cutting-edge projects and play a crucial role in the integration of AI solutions into real-world applications. If you possess the required skills and are passionate about pushing the boundaries of AI technology, we invite you to join our innovative team.